A Combination of Deep Autoencoder and Multi-Scale Residual Network for Landslide Susceptibility Evaluation
Landslide susceptibility evaluation can accurately predict the spatial distribution of potential landslides, which offers great usefulness for disaster prevention, disaster reduction, and land resource management.Aiming at the problems of insufficient samples for landslide compilation, difficulty in expanding landslide samples, and insufficient exp